Evaluation of Social Stability Risk of Adjusting Goods Vehicle Calculation Method Based on Optimal Combination Weighting—Cloud Model

Pengyun Chong, Hui Yin, Chaofeng Wang, Pengcheng Wang, Linqing Li, Di Wu, Jingwei Li and Dong Ding ()
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Pengyun Chong: Yunnan Science Research Institute of Communication & Transportation Co., Ltd., Kunming 650011, China
Hui Yin: Power China Kunming Engineering Corporation Limited, Kunming 650051, China
Chaofeng Wang: Airport College, Civil Aviation Flight University of China, Guanghan 618307, China
Pengcheng Wang: Airport College, Civil Aviation Flight University of China, Guanghan 618307, China
Linqing Li: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Di Wu: Committee of Communist Youth League of China, Xi’an International Studies University, Xi’an 710128, China
Jingwei Li: Yunnan Science Research Institute of Communication & Transportation Co., Ltd., Kunming 650011, China
Dong Ding: School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Sustainability, 2022, vol. 14, issue 24, 1-14

Abstract: In order to solve the social stability risk problem of the adjusting goods vehicle calculation method (AGVCM) in the cancellation of toll stations at expressway provincial boundaries, a social stability risk evaluation model was proposed. Firstly, based on the possible time stages of the AGVCM, we built the social stability risk evaluation index system of the AGVCM including 4 levels, 3 grades, and 60 indicators. Secondly, we used the semantic information of cloud model to transform qualitative description and quantitative evaluation, calculated the risk level for social stability risk evaluation of AGVCM according to an integrated cloud algorithm, and proposed an optimal combination weighting—cloud model for the social stability risk evaluation of AGVCM. Finally, the feasibility of the evaluation model is verified by a case study in Yunnan province in China. The results showed that the cloud model’s numerical characteristic of social stability risk evaluation of AGVCM in Yunnan based on the optimal combination weighting—cloud model is (0.28, 0.073, 0.0008), implying the risk level is “small” and the conclusion is basically consistent with current standards. The model contains rich process information, which is helpful to better effectively eliminate the subjectivity and arbitrariness in the evaluation process of identifying the key factors affecting the project risk level.

Keywords: highway transportation; evaluation of social stability risk; optimal combination weighting—cloud model; adjusting goods vehicle calculation method; cancellation toll stations at expressway provincial boundaries (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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